weka.classifiers.rules

Class LAD

java.lang.Object

weka.classifiers.AbstractClassifier

weka.classifiers.rules.LAD

All Implemented Interfaces:

java.io.Serializable, java.lang.Cloneable, weka.classifiers.Classifier, weka.core.CapabilitiesHandler, weka.core.OptionHandler, weka.core.RevisionHandler, weka.core.TechnicalInformationHandler

public class LAD
extends weka.classifiers.AbstractClassifier
implements weka.core.TechnicalInformationHandler

Class Logical Analysis Data (LAD)

Since:

Mar 27, 2014

Version:

1.0

Author:

Vaux Gomes, Tiberius Bonates

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
LAD()

Method Summary

Modifier and Type	Method and Description
void	buildClassifier(weka.core.Instances data) Generates a classifier.
double[]	distributionForInstance(weka.core.Instance instance) Predicts the class memberships for a given instance.
weka.core.Capabilities	getCapabilities() Returns the Capabilities of this classifier.
Cutpoints	getCutpoints() GET of Cut Points
double	getCutpointTolerance() GET of cutPointTolerance to Display
FeatureSelection	getFeatureSelection() GET of FeatureSelection Algorithm to Display
double	getMinimumPurity() GET of minumumPurity to Display
java.lang.String[]	getOptions() Gets the current settings of the Classifier.
boolean	getPrintFile() GET of PrintFile to Display
RuleGenerator	getRuleGenerator() GET of RuleGenerator to Display
RuleManager	getRuleManager() GET of Rule Manager
weka.core.TechnicalInformation	getTechnicalInformation() Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
java.lang.String	globalInfo() Resumo sobre o algoritmo
java.util.Enumeration	listOptions() Returns an enumeration describing the available options.
static void	main(java.lang.String[] args)
java.lang.String	minimumPurityTipText() MinimumPurity Tip Text
java.lang.String	ruleGeneratorTipText() RuleGenerator Tip Text
void	setCutpointTolerance(double cutpointTolerance) SET of cutPointTolerance to Display
void	setFeatureSelection(FeatureSelection featureSelection) SET of FeatureSelection Algorithm to Display
void	setMinimumPurity(double purity) SET of minumumPurity to Display
void	setOptions(java.lang.String[] options) Parses a given list of options.
void	setPrintFile(boolean mPrintFile) SET of PrintFile to Display
void	setRuleGenerator(RuleGenerator ruleGenerator) SET of RuleGenerator to Display
java.lang.String	toString()

Methods inherited from class weka.classifiers.AbstractClassifier

classifyInstance, debugTipText, forName, getDebug, getRevision, makeCopies, makeCopy, runClassifier, setDebug

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

LAD

public LAD()

Method Detail

buildClassifier

public void buildClassifier(weka.core.Instances data)
                     throws java.lang.Exception

Description copied from interface: weka.classifiers.Classifier

Generates a classifier. Must initialize all fields of the classifier that are not being set via options (ie. multiple calls of buildClassifier must always lead to the same result). Must not change the dataset in any way.

Specified by:

buildClassifier in interface weka.classifiers.Classifier

Parameters:

data - set of instances serving as training data

Throws:

java.lang.Exception - if the classifier has not been generated successfully

distributionForInstance

public double[] distributionForInstance(weka.core.Instance instance)
                                 throws java.lang.Exception

Description copied from class: weka.classifiers.AbstractClassifier

Predicts the class memberships for a given instance. If an instance is unclassified, the returned array elements must be all zero. If the class is numeric, the array must consist of only one element, which contains the predicted value. Note that a classifier MUST implement either this or classifyInstance().

Specified by:

distributionForInstance in interface weka.classifiers.Classifier

Overrides:

distributionForInstance in class weka.classifiers.AbstractClassifier

Parameters:

instance - the instance to be classified

Returns:

an array containing the estimated membership probabilities of the test instance in each class or the numeric prediction

Throws:

java.lang.Exception - if distribution could not be computed successfully

getCutpoints

public Cutpoints getCutpoints()

GET of Cut Points

getRuleManager

public RuleManager getRuleManager()

GET of Rule Manager

getCutpointTolerance

public double getCutpointTolerance()

GET of cutPointTolerance to Display

setCutpointTolerance

public void setCutpointTolerance(double cutpointTolerance)

SET of cutPointTolerance to Display

getMinimumPurity

public double getMinimumPurity()

GET of minumumPurity to Display

setMinimumPurity

public void setMinimumPurity(double purity)

SET of minumumPurity to Display

getPrintFile

public boolean getPrintFile()

GET of PrintFile to Display

setPrintFile

public void setPrintFile(boolean mPrintFile)

SET of PrintFile to Display

setFeatureSelection

public void setFeatureSelection(FeatureSelection featureSelection)

SET of FeatureSelection Algorithm to Display

getFeatureSelection

public FeatureSelection getFeatureSelection()

GET of FeatureSelection Algorithm to Display

setRuleGenerator

public void setRuleGenerator(RuleGenerator ruleGenerator)

SET of RuleGenerator to Display

getRuleGenerator

public RuleGenerator getRuleGenerator()

GET of RuleGenerator to Display

globalInfo

public java.lang.String globalInfo()

Resumo sobre o algoritmo

minimumPurityTipText

public java.lang.String minimumPurityTipText()

MinimumPurity Tip Text

ruleGeneratorTipText

public java.lang.String ruleGeneratorTipText()

RuleGenerator Tip Text

setOptions

public void setOptions(java.lang.String[] options)
                throws java.lang.Exception

Description copied from class: weka.classifiers.AbstractClassifier

Parses a given list of options. Valid options are:

-D
If set, classifier is run in debug mode and may output additional info to the console.

Specified by:

setOptions in interface weka.core.OptionHandler

Overrides:

setOptions in class weka.classifiers.AbstractClassifier

Parameters:

options - the list of options as an array of strings

Throws:

java.lang.Exception - if an option is not supported

getOptions

public java.lang.String[] getOptions()

Description copied from class: weka.classifiers.AbstractClassifier

Gets the current settings of the Classifier.

Specified by:

getOptions in interface weka.core.OptionHandler

Overrides:

getOptions in class weka.classifiers.AbstractClassifier

Returns:

an array of strings suitable for passing to setOptions

listOptions

public java.util.Enumeration listOptions()

Returns an enumeration describing the available options.

Specified by:

listOptions in interface weka.core.OptionHandler

Overrides:

listOptions in class weka.classifiers.AbstractClassifier

Returns:

an enumeration of all the available options.

getCapabilities

public weka.core.Capabilities getCapabilities()

Description copied from class: weka.classifiers.AbstractClassifier

Returns the Capabilities of this classifier. Maximally permissive capabilities are allowed by default. Derived classifiers should override this method and first disable all capabilities and then enable just those capabilities that make sense for the scheme.

Specified by:

getCapabilities in interface weka.classifiers.Classifier

Specified by:

getCapabilities in interface weka.core.CapabilitiesHandler

Overrides:

getCapabilities in class weka.classifiers.AbstractClassifier

Returns:

the capabilities of this object

See Also:

Capabilities

getTechnicalInformation

public weka.core.TechnicalInformation getTechnicalInformation()

Description copied from interface: weka.core.TechnicalInformationHandler

Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.

Specified by:

getTechnicalInformation in interface weka.core.TechnicalInformationHandler

Returns:

the technical information about this class

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object

main

public static void main(java.lang.String[] args)
                 throws java.lang.Exception

Throws:

java.lang.Exception